Fundamental 4 Steps 4 hours 16 Credits
Welcome to DevZone Quest, a set of labs to deepen your understanding of the technology behind the Cloud Showcase Experiments featured in the Google Cloud Next 2019 San Francisco DevZone.
Prerequisites:
None RequiredObjectives:
Understand how Auto ML empowered Pizza Authenticator to recognize New York vs Chicago pizza. Dig deeper on the technology behind the pi calculation world record. Learn how to analyze your own data set with BigQuery, or try your own hand at improving network performance.Quest Outline
Classify Images of Clouds in the Cloud with AutoML Vision
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
Creating a Virtual Machine
In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.
Improving Network Performance I
In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.
Getting Started with BQML
In this lab you'll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts whether a visitor will make a transaction.
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